Visible to the public Biblio

Filters: Author is Ding, Huixia  [Clear All Filters]
2019-09-11
Ren, Yidan, Zhu, Zhengzhou, Chen, Xiangzhou, Ding, Huixia, Zhang, Geng.  2018.  Research on Defect Detection Technology of Trusted Behavior Decision Tree Based on Intelligent Data Semantic Analysis of Massive Data. Proceedings of the 10th International Conference on Computer Modeling and Simulation. :168–175.

With the rapid development of information technology, software systems' scales and complexity are showing a trend of expansion. The users' needs for the software security, software security reliability and software stability are growing increasingly. At present, the industry has applied machine learning methods to the fields of defect detection to repair and improve software defects through the massive data intelligent semantic analysis or code scanning. The model in machine learning is faced with big difficulty of model building, understanding, and the poor visualization in the field of traditional software defect detection. In view of the above problems, we present a point of view that intelligent semantic analysis technology based on massive data, and using the trusted behavior decision tree model to analyze the soft behavior by layered detection technology. At the same time, it is equipped related test environment to compare the tested software. The result shows that the defect detection technology based on intelligent semantic analysis of massive data is superior to other techniques at the cost of building time and error reported ratio.

2019-03-25
Liang, Xinyu, Chen, Xiangzhou, Ding, Huixia, Zhang, Geng, Zhen, Ni.  2018.  Research on Multi Point Self Healing Technology of Optical Channel Based on Wide Area Stability Control and Proposal of Reducing Business Risk Optimization Model. Proceedings of the 10th International Conference on Computer Modeling and Simulation. :308–312.
In order to reduce the operation risk of the network and improve the self-healing ability of the real-time wide area control system, this paper presents a link break analysis model of power communication network. This model is based on the research and optimization of multi-point fault self-healing technology about the light channel and combined with the recovery method of single point of failure. According to the definition of risk assessment and the automatic rerouting of basic mechanisms which is based on ASON, the corresponding rerouting triggering mechanism and optimization model is proposed. This measure effectively reduced the operational risk of the business, then further strengthened the robustness and stability of the real-time wide area secure control system that finally ensure the stable and reliable operation of the communication network and the power grid system.